Kiosk cluster

Abstract

A kiosk cluster may include a plurality of kiosks. Each kiosk may include an inventory shelf, image capturing device, sensors, display device, a processor and memory coupled with the processor. The processor identifies relevant inventory items matching with a current context determined via real time data analytics. The processor captures data associated with a user within the premises of the kiosk cluster via the image capturing device and the sensors. The data may include navigation path, facial expressions, features and actions or behaviors pertaining to one or more relevant inventory items. Further, the processor determines interest of the user in a relevant inventory item and future positions of the user on the navigation path. The processor displaces a kiosk holding the relevant inventory item in the direction of the future positions on the navigation path to be available for the purchase by the user.

What is claimed is: 
     
       1. A kiosk cluster, comprising:
 a plurality of kiosks, each kiosk further comprising
 an inventory shelf for holding a plurality of inventory items; 
 one or more image capturing devices including a camera for capturing a first set of data associated with one or more users, wherein the first set of data comprises navigation path and facial expressions; 
 one or more sensors capable of collecting environmental data and a second set of data associated with the one or more users, wherein second set of data comprises features, and actions or behaviors of the one or more users pertaining to one or more inventory items, wherein the features of the one or more users comprises face of each user, one or more wearables of each user, and metadata associated with the one or more wearables; 
 one or more display devices; 
 a processor; and 
 a memory coupled with the processor, wherein the processor is configured to execute programmed instructions stored in the memory for
 identifying a set of relevant inventory items matching with a current context determined via real time data analytics, wherein the set of relevant inventory items are virtually displayed on the one or more display devices and are further held on the inventory shelf; 
 capturing the first set of data and the second set of data associated with a user, detected within a predetermined distance of the kiosk cluster, and the environmental data via a combination of the one or more image capturing devices and the one or more sensors; 
 determining interest of the said user in at least one relevant inventory item, and one or more user's future positions on navigation path of the said user based upon a combination of the first set of data and the second set of data captured corresponding to the said user; and 
 displacing at least one kiosk holding the at least one relevant inventory item in a direction of the one or more user's future positions determined on the navigation path of the said user such that the at least one relevant inventory item is timely available for purchase by the said user. 
 
 
 
     
     
       2. The kiosk cluster of  claim 1 , wherein the one or more display devices comprises an LED banner, and a digital screen. 
     
     
       3. The kiosk cluster of  claim 1 , wherein each kiosk comprises one or more wheels for enabling movability of the said kiosk. 
     
     
       4. The kiosk cluster of  claim 1 , wherein the one or more image capturing devices are positioned on each kiosk and include one or more 360° streaming cameras. 
     
     
       5. The kiosk cluster of  claim 1 , wherein the one or more wearables comprises shoes, clothes, handbag, backpack, shopping bag, and wherein the metadata associated with each wearable comprises color, brand name, shape, and size, and wherein the environmental data at least comprises temperature and humidity data. 
     
     
       6. The kiosk cluster of  claim 1 , wherein the actions or behaviors of the one or more users pertaining to one or more inventory items comprises standing before each kiosk, browsing inventory details, picking an inventory item for a predefined time interval, dropping an inventory item after a predefined time interval, holding an inventory item for a predefined time interval, visualizing a particular inventory item in a particular manner for a predefined time interval, and capturing photos. 
     
     
       7. The kiosk cluster of  claim 1 , wherein the kiosk is either in a form of autonomous vehicle or a semi-autonomous vehicle adapted to act as a moving shop cluster on a street, or inside a parking space. 
     
     
       8. The kiosk cluster of  claim 1 , wherein the processor is further configured to execute a programmed instruction for identifying one or more owners associated with the set of relevant inventory items matching with the current context, and wherein the one or more owners are identified based upon the real time data analytics. 
     
     
       9. The kiosk cluster of  claim 8 , wherein the processor is further configured to execute a programmed instruction for enabling the one or more owners to control the virtual display of their corresponding relevant inventory items on the one or more display devices through a user device associated with the one or more owners. 
     
     
       10. The kiosk cluster of  claim 9 , wherein the processor is further configured to execute a programmed instruction for enabling the user device of the one or more owners to communicate with a user device of the one or more users. 
     
     
       11. The kiosk cluster of  claim 1 , wherein the processor is further configured to execute a programmed instruction for enabling the user to purchase at least inventory item by processing payment as-soon-as the user is beyond a predefined distance from the kiosk cluster. 
     
     
       12. The kiosk cluster of  claim 1 , wherein the processor is further configured to execute a programmed instruction for re-arranging positions of the set of relevant inventory items virtually displayed on the one or more display devices, and further re-arranging positions the set of relevant inventory items on the inventory shelf. 
     
     
       13. A method executed on a kiosk cluster, comprising:
 identifying, by a processor, a set of relevant inventory items matching with a current context determined via real time data analytics, wherein the set of relevant inventory items are virtually displayed on one or more display devices of one or more kiosks in a kiosk cluster, and wherein the set of relevant inventory items are further held on an inventory shelf of the one or more kiosks; 
 capturing, by the processor, a first set of data and a second set of data associated with a user, detected within a predetermined distance of the kiosk cluster, and environmental data via a combination of one or more image capturing devices including a camera and one or more sensors of the one or more kiosks, wherein the first set of data comprises navigation path and facial expressions of the said user, and wherein the second set of data comprises features, and actions or behaviors of the said user pertaining to one or more relevant inventory items, wherein the features of the one or more users comprises face of each user, one or more wearables of each user, and metadata associated with the one or more wearables; 
 determining, by the processor, interest of the said user in at least one relevant inventory item, and one or more user's future positions on the navigation path of the said user based upon a combination of the first set of data and the second set of data captured corresponding to the said user; and 
 displacing, by the processor, at least one kiosk holding the at least one relevant inventory item in a direction of the one or more user's future positions determined on the navigation path of the said user such that the at least one relevant inventory item is timely available for purchase by the said user. 
 
     
     
       14. The method of  claim 13 , wherein the one or more wearables comprises shoes, clothes, handbag, backpack, shopping bag, and wherein the metadata associated with each wearable comprises color, brand name, shape, and size. 
     
     
       15. The method of  claim 13 , wherein the actions or behaviors of the said user pertaining to one or more relevant inventory items comprises standing before a kiosk, browsing inventory details, picking an inventory item for a predefined time interval, dropping an inventory item after a predefined time interval, holding an inventory item for a predefined time interval, visualizing a particular inventory item in a particular manner for a predefined time interval, and capturing photos. 
     
     
       16. The method of  claim 13 , further comprising identifying, by the processor, one or more owners associated with the set of relevant inventory items matching with the current context, and wherein the one or more owners are identified based upon the data analytics. 
     
     
       17. The method of  claim 16 , further comprising enabling the one or more owners to control the virtual display of their corresponding relevant inventory items on the one or more display devices through a user device associated with the one or more owners. 
     
     
       18. The method of  claim 17 , further comprising enabling the user device of the one or more owners to communicate with a user device of the one or more users. 
     
     
       19. The method of  claim 13 , further comprising enabling the user to purchase at least inventory item by processing payment as-soon-as the user is beyond a predefined distance from the kiosk cluster. 
     
     
       20. The method of  claim 13 , further comprising re-arranging positions of the one or more relevant inventory items virtually displayed on the one or more display devices, and further re-arranging the positions the one or more relevant inventory items on the inventory shelf.